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4.
A digital humanities center is an entity where new media and technologies are used
for humanities-based research, teaching, and intellectual engagement and
experimentation. The goals of the center are to further humanities scholarship, create
new forms of knowledge, and explore technology’s impact on humanities
based disciplines".
Diane M. Zorich, A Survey of Digital Humanities Centers in the United States, 2008
Context – Where?
Metadata and Semantics Research Conference
Göttingen 2016

7.
The problem
• At least 21 repertoires on Poetry metrics & other
information (in the Web of Documents)
• This community wants to share all the data
among repertoires
• ….to enhance its research
• ……and more…e.g. researchers would love to
be able to play with the data!
8
Metadata and Semantics Research Conference
Göttingen 2016

8.
(Sub-)problem I
• First issue: standardize poetic features
 Different languages
 Different cultures/traditions
9
Philologists take care of this issue!
Metadata and Semantics Research Conference
Göttingen 2016

12.
The problem
• How to overcome these diferences?
• LOD technology
• Development of a Metadata Application Profile
for the European Poetry community
13
Metadata and Semantics Research Conference
Göttingen 2016

13.
The Approach
• Method for the development of Metadata
Application Profiles (Me4MAP)
• Me4MAP establishes a well defined process for
the development of a MAP:
 defines activities
 when those activities should take place
 how they interconnect
 and their resulting deliverables
14
Metadata and Semantics Research Conference
Göttingen 2016

15.
Where are we now ?
• S1: Defining the Functional Requirements
 Analysing the Websites’ functionalities: Use Case technique
16
Metadata and Semantics Research Conference
Göttingen 2016

16.
• navigate through the Webpages of a repertoire
• analyse the functionalities these pages have
Step 1 – Functionalities
identification
Metadata and Semantics Research Conference
Göttingen 2016

17.
Step 2 - Use Case model
development
Main flow Alternative flow (1)
1. Enumeration of interactions
between user and system in the
main scenario
2.
3.
1.1 Description of the interaction in a alternative
scenario. Only if a specific step is very different
compared to the main flow
Number: The number assigned to the Use Case
Use Case Name: The name of Use Case
Actor: The main actor of the Use Case. It is the Actor who starts the Use Case
Description: Short description of the Use Case function
Metadata and Semantics Research Conference
Göttingen 2016

18.
Step 3 - Data elements
of the Use Cases
Label Cardinality Searchable Link
The label of the data
element in the window
1 – M
1
Yes/No Yes/No
Window number/name: Number or name of the window that is being described.
Data elements
Metadata and Semantics Research Conference
Göttingen 2016

27.
Where are we now ?
• Reverse engineering process eliminates all the details
that have to do with the implementation/representation
(normalization)
• We have followed the method:
• ID keys deleted
• Separate different concepts that are represented in
the same table
• Tables that enumerate terms deleted  become
properties that can be repeated
• When models have conceptual problems  fix
problems
28
Metadata and Semantics Research Conference
Göttingen 2016

28.
Where are we now ?
• During the process of reverse engineering
we standardize, i.e.
 Call the same concepts by the same
name (working together with the philologists)
 Try to call the same names to tables or
properties as classes or terms that
already exist in A3: Environmental
Scan
29
Metadata and Semantics Research Conference
Göttingen 2016

29.
Where are we now ?
• A3: Environmental Scan
• A report contains a review of the RDF
vocabularies that may serve the needs of
the Domain Model
30
Metadata and Semantics Research Conference
Göttingen 2016

30.
Where are we now ?
• If the repertoire’s responsible did not
provide database definition analyse the
functionalities of the Website
• Study the controlled vocabularies and
standardize them (work of a philologist)
31
Metadata and Semantics Research Conference
Göttingen 2016

32.
Next step ?
• S2.1: Vocabulary Alignment
 To match the terms of the RDF
vocabularies identified in the
Environmental Scan (A3) with the
needs of the Domain Model.
33
Metadata and Semantics Research Conference
Göttingen 2016

33.
Conclusions
• POSTDATA aims to put poetry metrics data in
LOD
• There are at least 21 repertoires on the Web of
Documents
• To achieve that we need to: 1) standardize the
way poetry metrics is defined, 2) create a
Metadata Application Profile (MAP) for the
European Poetry community
• We are following Me4MAP to define this MAP
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Metadata and Semantics Research Conference
Göttingen 2016